from plotly.basedatatypes import BaseTraceType import copy class Splom(BaseTraceType): # customdata # ---------- @property def customdata(self): """ Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['customdata'] @customdata.setter def customdata(self, val): self['customdata'] = val # customdatasrc # ------------- @property def customdatasrc(self): """ Sets the source reference on plot.ly for customdata . The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['customdatasrc'] @customdatasrc.setter def customdatasrc(self, val): self['customdatasrc'] = val # diagonal # -------- @property def diagonal(self): """ The 'diagonal' property is an instance of Diagonal that may be specified as: - An instance of plotly.graph_objs.splom.Diagonal - A dict of string/value properties that will be passed to the Diagonal constructor Supported dict properties: visible Determines whether or not subplots on the diagonal are displayed. Returns ------- plotly.graph_objs.splom.Diagonal """ return self['diagonal'] @diagonal.setter def diagonal(self, val): self['diagonal'] = val # dimensions # ---------- @property def dimensions(self): """ The 'dimensions' property is a tuple of instances of Dimension that may be specified as: - A list or tuple of instances of plotly.graph_objs.splom.Dimension - A list or tuple of dicts of string/value properties that will be passed to the Dimension constructor Supported dict properties: axis plotly.graph_objs.splom.dimension.Axis instance or dict with compatible properties label Sets the label corresponding to this splom dimension. name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. values Sets the dimension values to be plotted. valuessrc Sets the source reference on plot.ly for values . visible Determines whether or not this dimension is shown on the graph. Note that even visible false dimension contribute to the default grid generate by this splom trace. Returns ------- tuple[plotly.graph_objs.splom.Dimension] """ return self['dimensions'] @dimensions.setter def dimensions(self, val): self['dimensions'] = val # dimensiondefaults # ----------------- @property def dimensiondefaults(self): """ When used in a template (as layout.template.data.splom.dimensiondefaults), sets the default property values to use for elements of splom.dimensions The 'dimensiondefaults' property is an instance of Dimension that may be specified as: - An instance of plotly.graph_objs.splom.Dimension - A dict of string/value properties that will be passed to the Dimension constructor Supported dict properties: Returns ------- plotly.graph_objs.splom.Dimension """ return self['dimensiondefaults'] @dimensiondefaults.setter def dimensiondefaults(self, val): self['dimensiondefaults'] = val # hoverinfo # --------- @property def hoverinfo(self): """ Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self['hoverinfo'] @hoverinfo.setter def hoverinfo(self, val): self['hoverinfo'] = val # hoverinfosrc # ------------ @property def hoverinfosrc(self): """ Sets the source reference on plot.ly for hoverinfo . The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['hoverinfosrc'] @hoverinfosrc.setter def hoverinfosrc(self, val): self['hoverinfosrc'] = val # hoverlabel # ---------- @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of plotly.graph_objs.splom.Hoverlabel - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on plot.ly for bgcolor . bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on plot.ly for bordercolor . font Sets the font used in hover labels. namelength Sets the length (in number of characters) of the trace name in the hover labels for this trace. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on plot.ly for namelength . Returns ------- plotly.graph_objs.splom.Hoverlabel """ return self['hoverlabel'] @hoverlabel.setter def hoverlabel(self, val): self['hoverlabel'] = val # ids # --- @property def ids(self): """ Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['ids'] @ids.setter def ids(self, val): self['ids'] = val # idssrc # ------ @property def idssrc(self): """ Sets the source reference on plot.ly for ids . The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['idssrc'] @idssrc.setter def idssrc(self, val): self['idssrc'] = val # legendgroup # ----------- @property def legendgroup(self): """ Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['legendgroup'] @legendgroup.setter def legendgroup(self, val): self['legendgroup'] = val # marker # ------ @property def marker(self): """ The 'marker' property is an instance of Marker that may be specified as: - An instance of plotly.graph_objs.splom.Marker - A dict of string/value properties that will be passed to the Marker constructor Supported dict properties: autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `false` when `marker.cmin` and `marker.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well. cmin Sets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well. color Sets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set. colorbar plotly.graph_objs.splom.marker.ColorBar instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)', [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,R ainbow,Portland,Jet,Hot,Blackbody,Earth,Electri c,Viridis,Cividis. colorsrc Sets the source reference on plot.ly for color . line plotly.graph_objs.splom.marker.Line instance or dict with compatible properties opacity Sets the marker opacity. opacitysrc Sets the source reference on plot.ly for opacity . reversescale Reverses the color mapping if true. Has an effect only if in `marker.color`is set to a numerical array. If true, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color. showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array. size Sets the marker size (in px). sizemin Has an effect only if `marker.size` is set to a numerical array. Sets the minimum size (in px) of the rendered marker points. sizemode Has an effect only if `marker.size` is set to a numerical array. Sets the rule for which the data in `size` is converted to pixels. sizeref Has an effect only if `marker.size` is set to a numerical array. Sets the scale factor used to determine the rendered size of marker points. Use with `sizemin` and `sizemode`. sizesrc Sets the source reference on plot.ly for size . symbol Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot- open" to a symbol name. symbolsrc Sets the source reference on plot.ly for symbol . Returns ------- plotly.graph_objs.splom.Marker """ return self['marker'] @marker.setter def marker(self, val): self['marker'] = val # name # ---- @property def name(self): """ Sets the trace name. The trace name appear as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['name'] @name.setter def name(self, val): self['name'] = val # opacity # ------- @property def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self['opacity'] @opacity.setter def opacity(self, val): self['opacity'] = val # selected # -------- @property def selected(self): """ The 'selected' property is an instance of Selected that may be specified as: - An instance of plotly.graph_objs.splom.Selected - A dict of string/value properties that will be passed to the Selected constructor Supported dict properties: marker plotly.graph_objs.splom.selected.Marker instance or dict with compatible properties Returns ------- plotly.graph_objs.splom.Selected """ return self['selected'] @selected.setter def selected(self, val): self['selected'] = val # selectedpoints # -------------- @property def selectedpoints(self): """ Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. The 'selectedpoints' property accepts values of any type Returns ------- Any """ return self['selectedpoints'] @selectedpoints.setter def selectedpoints(self, val): self['selectedpoints'] = val # showlegend # ---------- @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self['showlegend'] @showlegend.setter def showlegend(self, val): self['showlegend'] = val # showlowerhalf # ------------- @property def showlowerhalf(self): """ Determines whether or not subplots on the lower half from the diagonal are displayed. The 'showlowerhalf' property must be specified as a bool (either True, or False) Returns ------- bool """ return self['showlowerhalf'] @showlowerhalf.setter def showlowerhalf(self, val): self['showlowerhalf'] = val # showupperhalf # ------------- @property def showupperhalf(self): """ Determines whether or not subplots on the upper half from the diagonal are displayed. The 'showupperhalf' property must be specified as a bool (either True, or False) Returns ------- bool """ return self['showupperhalf'] @showupperhalf.setter def showupperhalf(self, val): self['showupperhalf'] = val # stream # ------ @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of plotly.graph_objs.splom.Stream - A dict of string/value properties that will be passed to the Stream constructor Supported dict properties: maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. Returns ------- plotly.graph_objs.splom.Stream """ return self['stream'] @stream.setter def stream(self, val): self['stream'] = val # text # ---- @property def text(self): """ Sets text elements associated with each (x,y) pair to appear on hover. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self['text'] @text.setter def text(self, val): self['text'] = val # textsrc # ------- @property def textsrc(self): """ Sets the source reference on plot.ly for text . The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['textsrc'] @textsrc.setter def textsrc(self, val): self['textsrc'] = val # uid # --- @property def uid(self): """ The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['uid'] @uid.setter def uid(self, val): self['uid'] = val # unselected # ---------- @property def unselected(self): """ The 'unselected' property is an instance of Unselected that may be specified as: - An instance of plotly.graph_objs.splom.Unselected - A dict of string/value properties that will be passed to the Unselected constructor Supported dict properties: marker plotly.graph_objs.splom.unselected.Marker instance or dict with compatible properties Returns ------- plotly.graph_objs.splom.Unselected """ return self['unselected'] @unselected.setter def unselected(self, val): self['unselected'] = val # visible # ------- @property def visible(self): """ Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self['visible'] @visible.setter def visible(self, val): self['visible'] = val # xaxes # ----- @property def xaxes(self): """ Sets the list of x axes corresponding to dimensions of this splom trace. By default, a splom will match the first N xaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. The 'xaxes' property is an info array that may be specified as: * a list of elements where: The 'xaxes[i]' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- list """ return self['xaxes'] @xaxes.setter def xaxes(self, val): self['xaxes'] = val # yaxes # ----- @property def yaxes(self): """ Sets the list of y axes corresponding to dimensions of this splom trace. By default, a splom will match the first N yaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. The 'yaxes' property is an info array that may be specified as: * a list of elements where: The 'yaxes[i]' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- list """ return self['yaxes'] @yaxes.setter def yaxes(self, val): self['yaxes'] = val # type # ---- @property def type(self): return self._props['type'] # property parent name # -------------------- @property def _parent_path_str(self): return '' # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on plot.ly for customdata . diagonal plotly.graph_objs.splom.Diagonal instance or dict with compatible properties dimensions plotly.graph_objs.splom.Dimension instance or dict with compatible properties dimensiondefaults When used in a template (as layout.template.data.splom.dimensiondefaults), sets the default property values to use for elements of splom.dimensions hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on plot.ly for hoverinfo . hoverlabel plotly.graph_objs.splom.Hoverlabel instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on plot.ly for ids . legendgroup Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. marker plotly.graph_objs.splom.Marker instance or dict with compatible properties name Sets the trace name. The trace name appear as the legend item and on hover. opacity Sets the opacity of the trace. selected plotly.graph_objs.splom.Selected instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showlowerhalf Determines whether or not subplots on the lower half from the diagonal are displayed. showupperhalf Determines whether or not subplots on the upper half from the diagonal are displayed. stream plotly.graph_objs.splom.Stream instance or dict with compatible properties text Sets text elements associated with each (x,y) pair to appear on hover. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. textsrc Sets the source reference on plot.ly for text . uid unselected plotly.graph_objs.splom.Unselected instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). xaxes Sets the list of x axes corresponding to dimensions of this splom trace. By default, a splom will match the first N xaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. yaxes Sets the list of y axes corresponding to dimensions of this splom trace. By default, a splom will match the first N yaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. """ def __init__( self, arg=None, customdata=None, customdatasrc=None, diagonal=None, dimensions=None, dimensiondefaults=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, ids=None, idssrc=None, legendgroup=None, marker=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, showlowerhalf=None, showupperhalf=None, stream=None, text=None, textsrc=None, uid=None, unselected=None, visible=None, xaxes=None, yaxes=None, **kwargs ): """ Construct a new Splom object Splom traces generate scatter plot matrix visualizations. Each splom `dimensions` items correspond to a generated axis. Values for each of those dimensions are set in `dimensions[i].values`. Splom traces support all `scattergl` marker style attributes. Specify `layout.grid` attributes and/or layout x-axis and y-axis attributes for more control over the axis positioning and style. Parameters ---------- arg dict of properties compatible with this constructor or an instance of plotly.graph_objs.Splom customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on plot.ly for customdata . diagonal plotly.graph_objs.splom.Diagonal instance or dict with compatible properties dimensions plotly.graph_objs.splom.Dimension instance or dict with compatible properties dimensiondefaults When used in a template (as layout.template.data.splom.dimensiondefaults), sets the default property values to use for elements of splom.dimensions hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on plot.ly for hoverinfo . hoverlabel plotly.graph_objs.splom.Hoverlabel instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on plot.ly for ids . legendgroup Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. marker plotly.graph_objs.splom.Marker instance or dict with compatible properties name Sets the trace name. The trace name appear as the legend item and on hover. opacity Sets the opacity of the trace. selected plotly.graph_objs.splom.Selected instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showlowerhalf Determines whether or not subplots on the lower half from the diagonal are displayed. showupperhalf Determines whether or not subplots on the upper half from the diagonal are displayed. stream plotly.graph_objs.splom.Stream instance or dict with compatible properties text Sets text elements associated with each (x,y) pair to appear on hover. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. textsrc Sets the source reference on plot.ly for text . uid unselected plotly.graph_objs.splom.Unselected instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). xaxes Sets the list of x axes corresponding to dimensions of this splom trace. By default, a splom will match the first N xaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. yaxes Sets the list of y axes corresponding to dimensions of this splom trace. By default, a splom will match the first N yaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. Returns ------- Splom """ super(Splom, self).__init__('splom') # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Splom constructor must be a dict or an instance of plotly.graph_objs.Splom""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop('skip_invalid', False) # Import validators # ----------------- from plotly.validators import (splom as v_splom) # Initialize validators # --------------------- self._validators['customdata'] = v_splom.CustomdataValidator() self._validators['customdatasrc'] = v_splom.CustomdatasrcValidator() self._validators['diagonal'] = v_splom.DiagonalValidator() self._validators['dimensions'] = v_splom.DimensionsValidator() self._validators['dimensiondefaults'] = v_splom.DimensionValidator() self._validators['hoverinfo'] = v_splom.HoverinfoValidator() self._validators['hoverinfosrc'] = v_splom.HoverinfosrcValidator() self._validators['hoverlabel'] = v_splom.HoverlabelValidator() self._validators['ids'] = v_splom.IdsValidator() self._validators['idssrc'] = v_splom.IdssrcValidator() self._validators['legendgroup'] = v_splom.LegendgroupValidator() self._validators['marker'] = v_splom.MarkerValidator() self._validators['name'] = v_splom.NameValidator() self._validators['opacity'] = v_splom.OpacityValidator() self._validators['selected'] = v_splom.SelectedValidator() self._validators['selectedpoints'] = v_splom.SelectedpointsValidator() self._validators['showlegend'] = v_splom.ShowlegendValidator() self._validators['showlowerhalf'] = v_splom.ShowlowerhalfValidator() self._validators['showupperhalf'] = v_splom.ShowupperhalfValidator() self._validators['stream'] = v_splom.StreamValidator() self._validators['text'] = v_splom.TextValidator() self._validators['textsrc'] = v_splom.TextsrcValidator() self._validators['uid'] = v_splom.UidValidator() self._validators['unselected'] = v_splom.UnselectedValidator() self._validators['visible'] = v_splom.VisibleValidator() self._validators['xaxes'] = v_splom.XaxesValidator() self._validators['yaxes'] = v_splom.YaxesValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop('customdata', None) self['customdata'] = customdata if customdata is not None else _v _v = arg.pop('customdatasrc', None) self['customdatasrc' ] = customdatasrc if customdatasrc is not None else _v _v = arg.pop('diagonal', None) self['diagonal'] = diagonal if diagonal is not None else _v _v = arg.pop('dimensions', None) self['dimensions'] = dimensions if dimensions is not None else _v _v = arg.pop('dimensiondefaults', None) self['dimensiondefaults' ] = dimensiondefaults if dimensiondefaults is not None else _v _v = arg.pop('hoverinfo', None) self['hoverinfo'] = hoverinfo if hoverinfo is not None else _v _v = arg.pop('hoverinfosrc', None) self['hoverinfosrc'] = hoverinfosrc if hoverinfosrc is not None else _v _v = arg.pop('hoverlabel', None) self['hoverlabel'] = hoverlabel if hoverlabel is not None else _v _v = arg.pop('ids', None) self['ids'] = ids if ids is not None else _v _v = arg.pop('idssrc', None) self['idssrc'] = idssrc if idssrc is not None else _v _v = arg.pop('legendgroup', None) self['legendgroup'] = legendgroup if legendgroup is not None else _v _v = arg.pop('marker', None) self['marker'] = marker if marker is not None else _v _v = arg.pop('name', None) self['name'] = name if name is not None else _v _v = arg.pop('opacity', None) self['opacity'] = opacity if opacity is not None else _v _v = arg.pop('selected', None) self['selected'] = selected if selected is not None else _v _v = arg.pop('selectedpoints', None) self['selectedpoints' ] = selectedpoints if selectedpoints is not None else _v _v = arg.pop('showlegend', None) self['showlegend'] = showlegend if showlegend is not None else _v _v = arg.pop('showlowerhalf', None) self['showlowerhalf' ] = showlowerhalf if showlowerhalf is not None else _v _v = arg.pop('showupperhalf', None) self['showupperhalf' ] = showupperhalf if showupperhalf is not None else _v _v = arg.pop('stream', None) self['stream'] = stream if stream is not None else _v _v = arg.pop('text', None) self['text'] = text if text is not None else _v _v = arg.pop('textsrc', None) self['textsrc'] = textsrc if textsrc is not None else _v _v = arg.pop('uid', None) self['uid'] = uid if uid is not None else _v _v = arg.pop('unselected', None) self['unselected'] = unselected if unselected is not None else _v _v = arg.pop('visible', None) self['visible'] = visible if visible is not None else _v _v = arg.pop('xaxes', None) self['xaxes'] = xaxes if xaxes is not None else _v _v = arg.pop('yaxes', None) self['yaxes'] = yaxes if yaxes is not None else _v # Read-only literals # ------------------ from _plotly_utils.basevalidators import LiteralValidator self._props['type'] = 'splom' self._validators['type'] = LiteralValidator( plotly_name='type', parent_name='splom', val='splom' ) arg.pop('type', None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False